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About the Role
This is a paid internship opportunity within Dolby's Advanced Technology Group in Sydney, focusing on creating cutting-edge audio, video, and multimodal technologies for next-generation experiences. The internship involves investigating a cutting-edge topic related to your PhD research over four months, with a strong encouragement for publication of results. You will gain industry research experience and work with a diverse global network.
Responsibilities
- Define a project related to your PhD that does not delay completion.
- Investigate a cutting-edge topic with Dolby Australia researchers.
- Publish project results in an appropriate conference or journal.
- Work with a diverse global network of Dolby researchers, scientists, and creators.
- Gain a solid understanding of industry-based research.
Requirements
- Currently pursuing a PhD at an Australian university.
- Reside in Australia.
- Anticipated graduation date after September 2027.
Skills
- AI / Machine learning systems, preferably with application to audio, video, text, and multimedia
- Human-computer interfaces and AI applications
- Multimodal / cross-modal representation learning
- Trustworthy and explainable AI
- Generative AI for media creation
- Spatial computing for 6DoF multimedia
- Multimodal and immersive audio and video creation
- 3D deep learning (including NeRF, Gaussian Splatting, etc.)
- Programming in Python or MATLAB
- Experience with Max/MSP or Final Cut / Logic Pro
- Ability to creatively explore and design experiments to uncover new and interesting learnings in media.
Location
- Sydney, Australia
Work Type
- Paid internship
- Full-time
- Onsite (Sydney office)
- Relocation support available
Experience Level
- PhD candidate
Education Level
- PhD
Benefits
- Relocation support
About the Company
- Dolby’s Advanced Technology Group in Sydney creates cutting-edge audio, video, and multimodal technologies that drive next-generation experiences.
- Interests include interactive media using Machine Learning/AI, data science of media, cloud implementations of media processing and delivery, and explorations of audio-video content creation for immersive media such as XR.